Daniel Tovarňák

437 citations
25 papers · 258 indexed · h-index 9
Topics
Network Security and Intrusion Detection (14 papers)Software System Performance and Reliability (10 papers)Information and Cyber Security (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Communications MagazineData in Brief
Partner nations
Czechia

In The Last Decade

Daniel Tovarňák

25 papers receiving 251 citations

Peers

Daniel Tovarňák
Comparison fields: 5 of 38
  • Computer Networks and Communications 144
  • Information Systems 135
  • Signal Processing 61
  • Artificial Intelligence 60
  • Control and Systems Engineering 40
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Ken-ichi Chinen Japan
Simona Ramanauskaitė Lithuania
Jens Mache United States
Doğan Kesdoğan Germany
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Sergio Pastrana Spain
Huiming Yu United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Tovarňák

Since Specialization
Citations

This map shows the geographic impact of Daniel Tovarňák's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Tovarňák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tovarňák more than expected).

Fields of papers citing papers by Daniel Tovarňák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Tovarňák. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Tovarňák. The network helps show where Daniel Tovarňák may publish in the future.

Co-authorship network of co-authors of Daniel Tovarňák

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tovarňák. A scholar is included among the top collaborators of Daniel Tovarňák based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Tovarňák. Daniel Tovarňák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 10
4 1
5
Graph-Based CPE Matching for Identification of Vulnerable Asset Configurations
6
6 7
7 27
8 3
9 10
10
Normalization of Unstructured Log Data into Streams of Structured Event Objects
4
11 1
12 19
13 2
14 48
15 56
16
A Performance Benchmark of NetFlow Data Analysis on Distributed Stream Processing Systems
13
17 1
18
KYPO – A Platform for Cyber Defence Exercises
12
19 3
20 5

About Daniel Tovarňák

Daniel Tovarňák is a scholar working on Computer Networks and Communications, Information Systems and Software, having authored 25 papers that have together received 258 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Software System Performance and Reliability (10 papers) and Information and Cyber Security (8 papers). The work is most often cited by research in Computer Networks and Communications (144 citations), Information Systems (135 citations) and Signal Processing (61 citations). Daniel Tovarňák has collaborated with scholars based in Czechia. Frequent co-authors include Pavel Čeleda, Jan Vykopal, Milan Čermák, Valdemar Švábenský, Martin Husák, Tomáš Pitner, Tomáš Jirsík and Petr Velan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Data in Brief.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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